TECHNICAL FIELDThe present disclosure relates generally to providing augmented reality experiences using a software application.
BACKGROUNDAugmented-Reality (AR) is a modification of a virtual environment. For example, in Virtual Reality (VR), a user is completely immersed in a virtual world, whereas in AR, the user is immersed in a world where virtual objects are combined or superimposed on the real world. An AR system aims to generate and present virtual objects that interact realistically with a real-world environment and with each other. Examples of AR applications can include single or multiple player video games, instant messaging systems, and the like.
BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGSIn the drawings, which are not necessarily drawn to scale, like numerals may describe similar components in different views. To easily identify the discussion of any particular element or act, the most significant digit or digits in a reference number refer to the figure number in which that element is first introduced. Some nonlimiting examples are illustrated in the figures of the accompanying drawings in which:
FIG.1 is a diagrammatic representation of a networked environment in which the present disclosure may be deployed, in accordance with some examples.
FIG.2 is a diagrammatic representation of a messaging client application, in accordance with some examples.
FIG.3 is a diagrammatic representation of a data structure as maintained in a database, in accordance with some examples.
FIG.4 is a diagrammatic representation of a message, in accordance with some examples.
FIG.5 is a block diagram showing an example AR unboxing system, according to example examples.
FIG.6 is a diagrammatic representation of a database that associates different box types with trigger sequences, in accordance with some examples.
FIGS.7, and8 are diagrammatic representations of outputs of the AR unboxing system, in accordance with some examples.
FIG.9 is a flowchart illustrating example operations of the AR unboxing system, according to some examples.
FIG.10 is a diagrammatic representation of a machine in the form of a computer system within which a set of instructions may be executed for causing the machine to perform any one or more of the methodologies discussed herein, in accordance with some examples.
FIG.11 is a block diagram showing a software architecture within which examples may be implemented.
DETAILED DESCRIPTIONThe description that follows includes systems, methods, techniques, instruction sequences, and computing machine program products that embody illustrative examples of the disclosure. In the following description, for the purposes of explanation, numerous specific details are set forth in order to provide an understanding of various examples. It will be evident, however, to those skilled in the art, that examples may be practiced without these specific details. In general, well-known instruction instances, protocols, structures, and techniques are not necessarily shown in detail.
Users often enjoy watching videos of other people opening packages and revealing their contents. Usually, these videos are prerecorded and shared over the Internet with a user's social network. The experience of unboxing is very common on social media and is a genre of content where people unbox a product to get a feel for the product. The experience is very exciting since it yields to anticipation users feel for something shiny and new. In many cases, users receive packages and forget to record the videos which result in missed opportunities for generating content that shows a user's reaction to opening a box.
Some systems create online experiences in which mystery boxes are delivered to users. In such systems, the virtual boxes are opened by simply tapping on the virtual boxes or selecting an open box option. Such experiences are not particularly interesting to share. Augmented reality (AR) and virtual reality (VR) systems provide opportunities for creating unique and engaging content which enhances user engagement with the applications.
The disclosed techniques improve the efficiency of using the electronic device by providing an AR or VR application that includes an unboxing experience. Particularly, the disclosed techniques provide a virtual experience that imitates, in some cases, the physical unboxing experience. In order to keep the experiences unique and engaging, different types of triggers are used to open the same or different sets of boxes. For example, after a user opens a particular box by performing a first sequence of physical and/or virtual actions, the box can be repackaged. In order to open the repackaged box, a second sequence of physical and/or virtual actions may need to be performed. This way, the same user or different users can continue engaging in an unboxing experience with the same box or a different box.
In an example, the disclosed techniques retrieve an augmented reality element comprising a virtual box that is in a closed state. The disclosed techniques obtain one or more triggers associated with the virtual box that are configured to change the virtual box from the closed state to an open state. The disclosed techniques display the augmented reality element comprising the virtual box as an overlay on top of a real-world environment depicted in a video stream. The disclosed techniques receive input associated with the augmented reality virtual box, such as detecting that the client device is being shaken or moved in a particular way or that a particular set of hand gestures are being performed. The disclosed techniques determine that the received input corresponds to (e.g., matches a sequence defined by) the one or more triggers associated with the virtual box and, in response, modify the augmented reality element from being displayed in the closed state to being displayed in the open state.
In some cases, the disclosed techniques automatically begin capturing a video of a user performing a last set of sequences in the sequence of triggers to share with one or more other users. For example, the disclosed techniques determine that a first portion of the sequence of triggers has been performed. In response, the disclosed techniques automatically activate a front-facing camera to capture an image or video of the user opening the box by performing a second portion of the sequence of triggers. Concurrently with capturing the image or video, the disclosed techniques change the state of the virtual box from the closed state to the open state to reveal contents of the virtual box.
This improves the overall experience of the user in using the electronic device. Also, by automating the video recording of a user's reaction to opening a box, the overall amount of system resources needed to accomplish a task is reduced.
Networked Computing Environment
FIG.1 is a block diagram showing anexample messaging system100 for exchanging data (e.g., messages and associated content) over a network. Themessaging system100 includes multiple instances of aclient device102, each of which hosts a number of applications, including amessaging client104 and other external applications109 (e.g., third-party applications). Eachmessaging client104 is communicatively coupled to other instances of the messaging client104 (e.g., hosted on respective other client devices102), amessaging server system108 and external app(s)servers110 via a network112 (e.g., the Internet). Amessaging client104 can also communicate with locally-hosted third-party applications, such asexternal apps109 using Application Programming Interfaces (APIs).
Amessaging client104 is able to communicate and exchange data withother messaging clients104 and with themessaging server system108 via thenetwork112. The data exchanged betweenmessaging clients104, and between amessaging client104 and themessaging server system108, includes functions (e.g., commands to invoke functions) as well as payload data (e.g., text, audio, video or other multimedia data).
Themessaging server system108 provides server-side functionality via thenetwork112 to aparticular messaging client104. While certain functions of themessaging system100 are described herein as being performed by either amessaging client104 or by themessaging server system108, the location of certain functionality either within themessaging client104 or themessaging server system108 may be a design choice. For example, it may be technically preferable to initially deploy certain technology and functionality within themessaging server system108 but to later migrate this technology and functionality to themessaging client104 where aclient device102 has sufficient processing capacity.
Themessaging server system108 supports various services and operations that are provided to themessaging client104. Such operations include transmitting data to, receiving data from, and processing data generated by themessaging client104. This data may include message content, client device information, geolocation information, media augmentation and overlays, message content persistence conditions, social network information, and live event information, as examples. Data exchanges within themessaging system100 are invoked and controlled through functions available via user interfaces (UIs) of themessaging client104.
Turning now specifically to themessaging server system108, an Application Programming Interface (API)server116 is coupled to, and provides a programmatic interface to,application servers114. Theapplication servers114 are communicatively coupled to adatabase server120, which facilitates access to adatabase126 that stores data associated with messages processed by theapplication servers114. Similarly, aweb server128 is coupled to theapplication servers114, and provides web-based interfaces to theapplication servers114. To this end, theweb server128 processes incoming network requests over the Hypertext Transfer Protocol (HTTP) and several other related protocols.
TheAPI server116 receives and transmits message data (e.g., commands and message payloads) between theclient device102 and theapplication servers114. Specifically, theAPI server116 provides a set of interfaces (e.g., routines and protocols) that can be called or queried by themessaging client104 in order to invoke functionality of theapplication servers114. TheAPI server116 exposes various functions supported by theapplication servers114, including account registration, login functionality, the sending of messages, via theapplication servers114, from aparticular messaging client104 to anothermessaging client104, the sending of media files (e.g., images or video) from amessaging client104 to amessaging server118, and for possible access by anothermessaging client104, the settings of a collection of media data (e.g., story), the retrieval of a list of friends of a user of aclient device102, the retrieval of such collections, the retrieval of messages and content, the addition and deletion of entities (e.g., friends) to an entity graph (e.g., a social graph), the location of friends within a social graph, and opening an application event (e.g., relating to the messaging client104).
Theapplication servers114 host a number of server applications and subsystems, including for example amessaging server118, animage processing server122, and asocial network server124. Themessaging server118 implements a number of message processing technologies and functions, particularly related to the aggregation and other processing of content (e.g., textual and multimedia content) included in messages received from multiple instances of themessaging client104. As will be described in further detail, the text and media content from multiple sources may be aggregated into collections of content (e.g., called stories or galleries). These collections are then made available to themessaging client104. Other processor- and memory-intensive processing of data may also be performed server-side by themessaging server118, in view of the hardware requirements for such processing.
Theapplication servers114 also include animage processing server122 that is dedicated to performing various image processing operations, typically with respect to images or video within the payload of a message sent from or received at themessaging server118.
Image processing server122 is used to implement scan functionality of the augmentation system208 (shown inFIG.2). Scan functionality includes activating and providing one or more augmented reality experiences on aclient device102 when an image is captured by theclient device102. Specifically, themessaging client104 on theclient device102 can be used to activate a camera. The camera displays one or more real-time images or a video to a user along with one or more icons or identifiers of one or more augmented reality experiences. The user can select a given one of the identifiers to launch the corresponding augmented reality experience or perform a desired image modification (e.g., replacing a garment being worn by a user in a video or recoloring the garment worn by the user in the video or modifying the garment based on a gesture performed by the user).
Thesocial network server124 supports various social networking functions and services and makes these functions and services available to themessaging server118. To this end, thesocial network server124 maintains and accesses an entity graph308 (as shown inFIG.3) within thedatabase126. Examples of functions and services supported by thesocial network server124 include the identification of other users of themessaging system100 with which a particular user has relationships or is “following,” and also the identification of other entities and interests of a particular user.
Returning to themessaging client104, features and functions of an external resource (e.g., a third-party application109 or applet) are made available to a user via an interface of themessaging client104. Themessaging client104 receives a user selection of an option to launch or access features of an external resource (e.g., a third-party resource), such asexternal apps109. The external resource may be a third-party application (external apps109) installed on the client device102 (e.g., a “native app”), or a small-scale version of the third-party application (e.g., an “applet”) that is hosted on theclient device102 or remote of the client device102 (e.g., on third-party servers110). The small-scale version of the third-party application includes a subset of features and functions of the third-party application (e.g., the full-scale, native version of the third-party standalone application) and is implemented using a markup-language document. In one example, the small-scale version of the third-party application (e.g., an “applet”) is a web-based, markup-language version of the third-party application and is embedded in themessaging client104. In addition to using markup-language documents (e.g., a .*ml file), an applet may incorporate a scripting language (e.g., a .*js file or a .json file) and a style sheet (e.g., a .*ss file).
In response to receiving a user selection of the option to launch or access features of the external resource (external app109), themessaging client104 determines whether the selected external resource is a web-based external resource or a locally-installed external application. In some cases,external applications109 that are locally installed on theclient device102 can be launched independently of and separately from themessaging client104, such as by selecting an icon, corresponding to theexternal application109, on a home screen of theclient device102. Small-scale versions of such external applications can be launched or accessed via themessaging client104 and, in some examples, no or limited portions of the small-scale external application can be accessed outside of themessaging client104. The small-scale external application can be launched by themessaging client104 receiving, from a external app(s)server110, a markup-language document associated with the small-scale external application and processing such a document.
In response to determining that the external resource is a locally-installedexternal application109, themessaging client104 instructs theclient device102 to launch theexternal application109 by executing locally-stored code corresponding to theexternal application109. In response to determining that the external resource is a web-based resource, themessaging client104 communicates with the external app(s)servers110 to obtain a markup-language document corresponding to the selected resource. Themessaging client104 then processes the obtained markup-language document to present the web-based external resource within a user interface of themessaging client104.
Themessaging client104 can notify a user of theclient device102, or other users related to such a user (e.g., “friends”), of activity taking place in one or more external resources. For example, themessaging client104 can provide participants in a conversation (e.g., a chat session) in themessaging client104 with notifications relating to the current or recent use of an external resource by one or more members of a group of users. One or more users can be invited to join in an active external resource or to launch a recently-used but currently inactive (in the group of friends) external resource. The external resource can provide participants in a conversation, each using arespective messaging client104, with the ability to share an item, status, state, or location in an external resource with one or more members of a group of users into a chat session. The shared item may be an interactive chat card with which members of the chat can interact, for example, to launch the corresponding external resource, view specific information within the external resource, or take the member of the chat to a specific location or state within the external resource. Within a given external resource, response messages can be sent to users on themessaging client104. The external resource can selectively include different media items in the responses, based on a current context of the external resource.
Themessaging client104 can present a list of the available external resources (e.g., third-party orexternal applications109 or applets) to a user to launch or access a given external resource. This list can be presented in a context-sensitive menu. For example, the icons representing different ones of the external application109 (or applets) can vary based on how the menu is launched by the user (e.g., from a conversation interface or from a non-conversation interface).
Themessaging client104 can present to a user one or more unboxing AR experiences. In an example, themessaging client104 can present an unboxing AR experience in response to receiving input selecting an option to access a mystery box icon. Themessaging client104 presents a virtual box as a representation of the selected unboxing AR experience. The virtual box can be associated with a time limit during which certain sequences of actions can be performed in an attempt to open the virtual box. In some implementations, the virtual box can be associated with one or more sequences of triggers that control when the virtual box is opened (e.g., changed from being in a closed state to being in an open state). Once the virtual box is changed to being in an open state (e.g., when a sequence of user inputs or actions correspond to a sequence of triggers associated with the virtual box), a set of contents of the virtual box are enabled for access by the user. Different sequences of triggers are associated with different complexities or complexity levels or levels of difficulty of user actions. In one implementation, a first sequence of triggers associated with a first level of complexity of user actions includes a tapping a particular area of the virtual box followed by inserting a virtual key into another area of the virtual box. In another implementation, second sequence of triggers associated with a second level of complexity of user actions (greater or more difficult than the first level of complexity) includes a tapping a particular area of the virtual box followed by shaking the client device on which the virtual box is displayed or performing another suitable gesture. A higher level of complexity of user actions can correspond to a greater number of quantity of actions that need to be performed and/or different types of user actions that are more difficult to perform (e.g., tapping is less difficult than shaking) and/or more difficult challenge questions.
The set of contents of the virtual box can vary based on a type of the virtual box, a time of day, an experience level of the user, an activeness metric of the user, a cost of the virtual box, current weather conditions, location, number of friends, and so forth. The set of contents can include a set of related physical or virtual items or a set of unrelated physical or virtual items. In one example, the set of contents includes a set of avatar outfits that are enabled for use by the account or profile of the user. Specifically, after the virtual box is opened, the avatar outfits contained in the virtual box are added to an account of the user. Themessaging client104 then allows the user to customize a look of the user's avatar using the avatar outfits contained in the virtual box.
In another example, the set of contents include a set of virtual outfits that correspond to real-world articles of clothing. After the virtual box is opened, themessaging client104 enables the user to select any one of the set of virtual outfits to launch a virtual try-on AR experience. In the virtual try-on AR experience, themessaging client104 activates a front-facing camera and overlays the selected virtual outfit on depiction of the user in a video stream captured by the front-facing camera. If the user is satisfied and likes the selected virtual outfit, themessaging client104 can receive input from a user that selects an option to purchase the real-world article of clothing corresponding to the virtual outfit. The cost to purchase the real-world article of clothing can be at a discount or lower than the cost to purchase the real-world article of clothing from a merchant prior to opening the virtual box. Namely, as a result of the user successfully opening the virtual box, themessaging client104 can reduce the cost to purchase the real-world article of clothing.
In another example, the set of contents includes additional AR experiences or games. In response to opening the virtual box, the additional AR experiences or games are unlocked and made available for the user to consume and access. In another example, after the virtual box is opened, a virtual portal is displayed in AR on top of a video stream (e.g., captured by a rear-facing camera). Themessaging client104 can detect a location of the user and determine that the user is walking through the virtual portal. In response, themessaging client104 navigates the user to a new dimension or screen or makes available a set of content for the user to consume. In some examples, the set of contents include audio or video media assets or content items. The audio or video media assets or content items are added to an account of the user to enable the user to consume or watch the audio or video media assets or content items in response to opening the virtual box. In another example, the set of contents include one or more non-fungible tokens (NFTs) associated with one or more virtual objects.
System Architecture
FIG.2 is a block diagram illustrating further details regarding themessaging system100, according to some examples. Specifically, themessaging system100 is shown to comprise themessaging client104 and theapplication servers114. Themessaging system100 embodies a number of subsystems, which are supported on the client side by themessaging client104 and on the sever side by theapplication servers114. These subsystems include, for example, anephemeral timer system202, acollection management system204, anaugmentation system208, amap system210, agame system212, and anexternal resource system220.
Theephemeral timer system202 is responsible for enforcing the temporary or time-limited access to content by themessaging client104 and themessaging server118. Theephemeral timer system202 incorporates a number of timers that, based on duration and display parameters associated with a message, or collection of messages (e.g., a story), selectively enable access (e.g., for presentation and display) to messages and associated content via themessaging client104. Further details regarding the operation of theephemeral timer system202 are provided below.
Thecollection management system204 is responsible for managing sets or collections of media (e.g., collections of text, image video, and audio data). A collection of content (e.g., messages, including images, video, text, and audio) may be organized into an “event gallery” or an “event story.” Such a collection may be made available for a specified time period, such as the duration of an event to which the content relates. For example, content relating to a music concert may be made available as a “story” for the duration of that music concert. Thecollection management system204 may also be responsible for publishing an icon that provides notification of the existence of a particular collection to the user interface of themessaging client104.
Thecollection management system204 further includes acuration interface206 that allows a collection manager to manage and curate a particular collection of content. For example, thecuration interface206 enables an event organizer to curate a collection of content relating to a specific event (e.g., delete inappropriate content or redundant messages). Additionally, thecollection management system204 employs machine vision (or image recognition technology) and content rules to automatically curate a content collection. In certain examples, compensation may be paid to a user for the inclusion of user-generated content into a collection. In such cases, thecollection management system204 operates to automatically make payments to such users for the use of their content.
Theaugmentation system208 provides various functions that enable a user to augment (e.g., annotate or otherwise modify or edit) media content associated with a message. For example, theaugmentation system208 provides functions related to the generation and publishing of media overlays for messages processed by themessaging system100. Theaugmentation system208 operatively supplies a media overlay or augmentation (e.g., an image filter) to themessaging client104 based on a geolocation of theclient device102. In another example, theaugmentation system208 operatively supplies a media overlay to themessaging client104 based on other information, such as social network information of the user of theclient device102. A media overlay may include audio and visual content and visual effects. Examples of audio and visual content include pictures, texts, logos, animations, and sound effects. An example of a visual effect includes color overlaying. The audio and visual content or the visual effects can be applied to a media content item (e.g., a photo) at theclient device102. For example, the media overlay may include text, a graphical element, or image that can be overlaid on top of a photograph taken by theclient device102. In another example, the media overlay includes an identification of a location overlay (e.g., Venice beach), a name of a live event, or a name of a merchant overlay (e.g., Beach Coffee House). In another example, theaugmentation system208 uses the geolocation of theclient device102 to identify a media overlay that includes the name of a merchant at the geolocation of theclient device102. The media overlay may include other indicia associated with the merchant. The media overlays may be stored in thedatabase126 and accessed through thedatabase server120.
In some examples, theaugmentation system208 provides a user-based publication platform that enables users to select a geolocation on a map and upload content associated with the selected geolocation. The user may also specify circumstances under which a particular media overlay should be offered to other users. Theaugmentation system208 generates a media overlay that includes the uploaded content and associates the uploaded content with the selected geolocation.
In other examples, theaugmentation system208 provides a merchant-based publication platform that enables merchants to select a particular media overlay associated with a geolocation via a bidding process. For example, theaugmentation system208 associates the media overlay of the highest bidding merchant with a corresponding geolocation for a predefined amount of time. Theaugmentation system208 communicates with theimage processing server122 to obtain augmented reality experiences and presents identifiers of such experiences in one or more user interfaces (e.g., as icons over a real-time image or video or as thumbnails or icons in interfaces dedicated for presented identifiers of augmented reality experiences). Once an augmented reality experience is selected, one or more images, videos, or augmented reality graphical elements are retrieved and presented as an overlay on top of the images or video captured by theclient device102. In some cases, the camera is switched to a front-facing view (e.g., the front-facing camera of theclient device102 is activated in response to activation of a particular augmented reality experience) and the images from the front-facing camera of theclient device102 start being displayed on theclient device102 instead of the rear-facing camera of theclient device102. The one or more images, videos, or augmented reality graphical elements are retrieved and presented as an overlay on top of the images that are captured and displayed by the front-facing camera of theclient device102.
In other examples, theaugmentation system208 is able to communicate and exchange data with anotheraugmentation system208 on anotherclient device102 and with the server via thenetwork112. The data exchanged can include a session identifier that identifies the shared AR session, a transformation between afirst client device102 and a second client device102 (e.g., a plurality ofclient devices102 include the first and second devices) that is used to align the shared AR session to a common point of origin, a common coordinate frame, functions (e.g., commands to invoke functions) as well as other payload data (e.g., text, audio, video or other multimedia data).
Theaugmentation system208 sends the transformation to thesecond client device102 so that thesecond client device102 can adjust the AR coordinate system based on the transformation. In this way, the first andsecond client devices102 synch up their coordinate systems and frames for displaying content in the AR session. Specifically, theaugmentation system208 computes the point of origin of thesecond client device102 in the coordinate system of thefirst client device102. Theaugmentation system208 can then determine an offset in the coordinate system of thesecond client device102 based on the position of the point of origin from the perspective of thesecond client device102 in the coordinate system of thesecond client device102. This offset is used to generate the transformation so that thesecond client device102 generates AR content according to a common coordinate system or frame as thefirst client device102.
Theaugmentation system208 can communicate with theclient device102 to establish individual or shared AR sessions. Theaugmentation system208 can also be coupled to themessaging server118 to establish an electronic group communication session (e.g., group chat, instant messaging) for theclient devices102 in a shared AR session. The electronic group communication session can be associated with a session identifier provided by theclient devices102 to gain access to the electronic group communication session and to the shared AR session. In one example, theclient devices102 first gain access to the electronic group communication session and then obtain the session identifier in the electronic group communication session that allows theclient devices102 to access the shared AR session. In some examples, theclient devices102 are able to access the shared AR session without aid or communication with theaugmentation system208 in theapplication servers114.
Themap system210 provides various geographic location functions, and supports the presentation of map-based media content and messages by themessaging client104. For example, themap system210 enables the display of user icons or avatars (e.g., stored in profile data316) on a map to indicate a current or past location of “friends” of a user, as well as media content (e.g., collections of messages including photographs and videos) generated by such friends, within the context of a map. For example, a message posted by a user to themessaging system100 from a specific geographic location may be displayed within the context of a map at that particular location to “friends” of a specific user on a map interface of themessaging client104. A user can furthermore share his or her location and status information (e.g., using an appropriate status avatar) with other users of themessaging system100 via themessaging client104, with this location and status information being similarly displayed within the context of a map interface of themessaging client104 to selected users.
Thegame system212 provides various gaming functions within the context of themessaging client104. Themessaging client104 provides a game interface providing a list of available games (e.g., web-based games or web-based applications) that can be launched by a user within the context of themessaging client104, and played with other users of themessaging system100. Themessaging system100 further enables a particular user to invite other users to participate in the play of a specific game, by issuing invitations to such other users from themessaging client104. Themessaging client104 also supports both voice and text messaging (e.g., chats) within the context of gameplay, provides a leaderboard for the games, and also supports the provision of in-game rewards (e.g., coins and items).
Theexternal resource system220 provides an interface for themessaging client104 to communicate with external app(s)servers110 to launch or access external resources. Each external resource (apps)server110 hosts, for example, a markup language (e.g., HTML5) based application or small-scale version of an external application (e.g., game, utility, payment, or ride-sharing application that is external to the messaging client104). Themessaging client104 may launch a web-based resource (e.g., application) by accessing the HTML5 file from the external resource (apps)servers110 associated with the web-based resource. In certain examples, applications hosted byexternal resource servers110 are programmed in JavaScript leveraging a Software Development Kit (SDK) provided by themessaging server118. The SDK includes Application Programming Interfaces (APIs) with functions that can be called or invoked by the web-based application. In certain examples, themessaging server118 includes a JavaScript library that provides a given third-party resource access to certain user data of themessaging client104. HTML5 is used as an example technology for programming games, but applications and resources programmed based on other technologies can be used.
In order to integrate the functions of the SDK into the web-based resource, the SDK is downloaded by an external resource (apps)server110 from themessaging server118 or is otherwise received by the external resource (apps)server110. Once downloaded or received, the SDK is included as part of the application code of a web-based external resource. The code of the web-based resource can then call or invoke certain functions of the SDK to integrate features of themessaging client104 into the web-based resource.
The SDK stored on themessaging server118 effectively provides the bridge between an external resource (e.g., third-party orexternal applications109 or applets and the messaging client104). This provides the user with a seamless experience of communicating with other users on themessaging client104, while also preserving the look and feel of themessaging client104. To bridge communications between an external resource and amessaging client104, in certain examples, the SDK facilitates communication betweenexternal resource servers110 and themessaging client104. In certain examples, a WebViewJavaScriptBridge running on aclient device102 establishes two one-way communication channels between a external resource and themessaging client104. Messages are sent between the external resource and themessaging client104 via these communication channels asynchronously. Each SDK function invocation is sent as a message and callback. Each SDK function is implemented by constructing a unique callback identifier and sending a message with that callback identifier.
By using the SDK, not all information from themessaging client104 is shared withexternal resource servers110. The SDK limits which information is shared based on the needs of the external resource. In certain examples, eachexternal resource server110 provides an HTML5 file corresponding to the web-based external resource to themessaging server118. Themessaging server118 can add a visual representation (such as a box art or other graphic) of the web-based external resource in themessaging client104. Once the user selects the visual representation or instructs themessaging client104 through a GUI of themessaging client104 to access features of the web-based external resource, themessaging client104 obtains the HTML5 file and instantiates the resources necessary to access the features of the web-based external resource.
Themessaging client104 presents a graphical user interface (e.g., a landing page or title screen) for an external resource. During, before, or after presenting the landing page or title screen, themessaging client104 determines whether the launched external resource has been previously authorized to access user data of themessaging client104. In response to determining that the launched external resource has been previously authorized to access user data of themessaging client104, themessaging client104 presents another graphical user interface of the external resource that includes functions and features of the external resource. In response to determining that the launched external resource has not been previously authorized to access user data of themessaging client104, after a threshold period of time (e.g., 3 seconds) of displaying the landing page or title screen of the external resource, themessaging client104 slides up (e.g., animates a menu as surfacing from a bottom of the screen to a middle of or other portion of the screen) a menu for authorizing the external resource to access the user data. The menu identifies the type of user data that the external resource will be authorized to use. In response to receiving a user selection of an accept option, themessaging client104 adds the external resource to a list of authorized external resources and allows the external resource to access user data from themessaging client104. In some examples, the external resource is authorized by themessaging client104 to access the user data in accordance with anOAuth2 framework.
Themessaging client104 controls the type of user data that is shared with external resources based on the type of external resource being authorized. For example, external resources that include full-scale external applications (e.g., a third-party or external application109) are provided with access to a first type of user data (e.g., only two-dimensional avatars of users with or without different avatar characteristics). As another example, external resources that include small-scale versions of external applications (e.g., web-based versions of third-party applications) are provided with access to a second type of user data (e.g., payment information, two-dimensional avatars of users, three-dimensional avatars of users, and avatars with various avatar characteristics). Avatar characteristics include different ways to customize a look and feel of an avatar, such as different poses, facial features, clothing, and so forth.
TheAR unboxing system224 obtains a virtual box (e.g., in response to receiving input selecting an AR unboxing experience icon) and presents the virtual box (in a closed state, such as with a lock in the locked position) as an overlay or within a real-world environment depicted in a video stream being captured by a front-facing or rear-facing camera. TheAR unboxing system224 determines a set or sequence of triggers associated with the virtual box which can vary based on certain factors or conditions such that different users are associated with different sequences of triggers for the same AR unboxing experience or virtual box. TheAR unboxing system224 then monitors actions performed by the user to determine when the actions match or correspond to the sequence of triggers. Once theAR unboxing system224 determines that the actions match or correspond to the sequence of triggers, theAR unboxing system224 changes the state of the virtual box to an open state (e.g., by changing the lock to the unlocked position) and makes the set of contents contained in the virtual box available for the user to consume or use. An illustrative implementation of theAR unboxing system224 is shown and described in connection withFIG.5 below.
Specifically, theAR unboxing system224 is a component that can be accessed by an AR/VR application implemented on theclient device102. The AR/VR application uses an RGB camera to capture a monocular image or video of a real-world environment. The AR/VR application applies various trained machine learning techniques on the captured image or video to apply one or more AR visual effects (e.g., to display a virtual box in a closed or open state) to the captured image. In some implementations, the AR/VR application continuously captures images or a video of the real-world environment in real time or periodically to continuously or periodically update the applied one or more visual effects. This allows the user to move around in the real world and see the one or more visual effects update in real time.
Data Architecture
FIG.3 is a schematic diagram illustratingdata structures300, which may be stored in thedatabase126 of themessaging server system108, according to certain examples. While the content of thedatabase126 is shown to comprise a number of tables, it will be appreciated that the data could be stored in other types of data structures (e.g., as an object-oriented database).
Thedatabase126 includes message data stored within a message table302. This message data includes, for any particular one message, at least message sender data, message recipient (or receiver) data, and a payload. Further details regarding information that may be included in a message, and included within the message data stored in the message table302, are described below with reference toFIG.4.
An entity table306 stores entity data, and is linked (e.g., referentially) to anentity graph308 andprofile data316. Entities for which records are maintained within the entity table306 may include individuals, corporate entities, organizations, objects, places, events, and so forth. Regardless of entity type, any entity regarding which themessaging server system108 stores data may be a recognized entity. Each entity is provided with a unique identifier, as well as an entity type identifier (not shown).
Theentity graph308 stores information regarding relationships and associations between entities. Such relationships may be social, professional (e.g., work at a common corporation or organization) interested-based or activity-based, merely for example.
Theprofile data316 stores multiple types of profile data about a particular entity. Theprofile data316 may be selectively used and presented to other users of themessaging system100, based on privacy settings specified by a particular entity. Where the entity is an individual, theprofile data316 includes, for example, a user name, telephone number, address, settings (e.g., notification and privacy settings), as well as a user-selected avatar representation (or collection of such avatar representations). A particular user may then selectively include one or more of these avatar representations within the content of messages communicated via themessaging system100, and on map interfaces displayed by messagingclients104 to other users. The collection of avatar representations may include “status avatars,” which present a graphical representation of a status or activity that the user may select to communicate at a particular time.
Where the entity is a group, theprofile data316 for the group may similarly include one or more avatar representations associated with the group, in addition to the group name, members, and various settings (e.g., notifications) for the relevant group.
Thedatabase126 also stores augmentation data, such as overlays or filters, in an augmentation table310. The augmentation data is associated with and applied to videos (for which data is stored in a video table304) and images (for which data is stored in an image table312).
Thedatabase126 can also store data pertaining to individual and shared AR sessions. This data can include data communicated between an AR session client controller of afirst client device102 and another AR session client controller of asecond client device102, and data communicated between the AR session client controller and theaugmentation system208. Data can include data used to establish the common coordinate frame of the shared AR scene, the transformation between the devices, the session identifier, images depicting a body, skeletal joint positions, wrist joint positions, feet, and so forth.
Filters, in one example, are overlays that are displayed as overlaid on an image or video during presentation to a recipient user. Filters may be of various types, including user-selected filters from a set of filters presented to a sending user by themessaging client104 when the sending user is composing a message. Other types of filters include geolocation filters (also known as geo-filters), which may be presented to a sending user based on geographic location. For example, geolocation filters specific to a neighborhood or special location may be presented within a user interface by themessaging client104, based on geolocation information determined by a Global Positioning System (GPS) unit of theclient device102.
Another type of filter is a data filter, which may be selectively presented to a sending user by themessaging client104, based on other inputs or information gathered by theclient device102 during the message creation process. Examples of data filters include current temperature at a specific location, a current speed at which a sending user is traveling, battery life for aclient device102, or the current time.
Other augmentation data that may be stored within the image table312 includes augmented reality content items (e.g., corresponding to applying augmented reality experiences). An augmented reality content item or augmented reality item may be a real-time special effect and sound that may be added to an image or a video.
As described above, augmentation data includes augmented reality content items, overlays, image transformations, AR images, AR logos or emblems, and similar terms that refer to modifications that may be applied to image data (e.g., videos or images). This includes real-time modifications, which modify an image as it is captured using device sensors (e.g., one or multiple cameras) of aclient device102 and then displayed on a screen of theclient device102 with the modifications. This also includes modifications to stored content, such as video clips in a gallery that may be modified. For example, in aclient device102 with access to multiple augmented reality content items, a user can use a single video clip with multiple augmented reality content items to see how the different augmented reality content items will modify the stored clip. For example, multiple augmented reality content items that apply different pseudorandom movement models can be applied to the same content by selecting different augmented reality content items for the content. Similarly, real-time video capture may be used with an illustrated modification to show how video images currently being captured by sensors of aclient device102 would modify the captured data. Such data may simply be displayed on the screen and not stored in memory, or the content captured by the device sensors may be recorded and stored in memory with or without the modifications (or both). In some systems, a preview feature can show how different augmented reality content items will look within different windows in a display at the same time. This can, for example, enable multiple windows with different pseudorandom animations to be viewed on a display at the same time.
Data and various systems using augmented reality content items or other such transform systems to modify content using this data can thus involve detection of objects (e.g., faces, hands, bodies, cats, dogs, surfaces, objects, etc.), tracking of such objects as they leave, enter, and move around the field of view in video frames, and the modification or transformation of such objects as they are tracked. In various examples, different methods for achieving such transformations may be used. Some examples may involve generating a three-dimensional mesh model of the object or objects, and using transformations and animated textures of the model within the video to achieve the transformation. In other examples, tracking of points on an object may be used to place an image or texture (which may be two dimensional or three dimensional) at the tracked position. In still further examples, neural network analysis of video frames may be used to place images, models, or textures in content (e.g., images or frames of video). Augmented reality content items thus refer both to the images, models, and textures used to create transformations in content, as well as to additional modeling and analysis information needed to achieve such transformations with object detection, tracking, and placement.
Real-time video processing can be performed with any kind of video data (e.g., video streams, video files, etc.) saved in a memory of a computerized system of any kind. For example, a user can load video files and save them in a memory of a device, or can generate a video stream using sensors of the device. Additionally, any objects can be processed using a computer animation model, such as a human's face and parts of a human body, animals, or non-living things such as chairs, cars, or other objects.
In some examples, when a particular modification is selected along with content to be transformed, elements to be transformed are identified by the computing device, and then detected and tracked if they are present in the frames of the video. The elements of the object are modified according to the request for modification, thus transforming the frames of the video stream. Transformation of frames of a video stream can be performed by different methods for different kinds of transformation. For example, for transformations of frames mostly referring to changing forms of an object's elements, characteristic points for each element of an object are calculated (e.g., using an Active Shape Model (ASM) or other known methods). Then, a mesh based on the characteristic points is generated for each of the at least one element of the object. This mesh is used in the following stage of tracking the elements of the object in the video stream. In the process of tracking, the mentioned mesh for each element is aligned with a position of each element. Then, additional points are generated on the mesh. A first set of first points is generated for each element based on a request for modification, and a set of second points is generated for each element based on the set of first points and the request for modification. Then, the frames of the video stream can be transformed by modifying the elements of the object on the basis of the sets of first and second points and the mesh. In such method, a background of the modified object can be changed or distorted as well by tracking and modifying the background.
In some examples, transformations changing some areas of an object using its elements can be performed by calculating characteristic points for each element of an object and generating a mesh based on the calculated characteristic points. Points are generated on the mesh, and then various areas based on the points are generated. The elements of the object are then tracked by aligning the area for each element with a position for each of the at least one element, and properties of the areas can be modified based on the request for modification, thus transforming the frames of the video stream. Depending on the specific request for modification, properties of the mentioned areas can be transformed in different ways. Such modifications may involve changing color of areas; removing at least some part of areas from the frames of the video stream; including one or more new objects into areas which are based on a request for modification; and modifying or distorting the elements of an area or object. In various examples, any combination of such modifications or other similar modifications may be used. For certain models to be animated, some characteristic points can be selected as control points to be used in determining the entire state-space of options for the model animation.
In some examples of a computer animation model to transform image data using face detection, the face is detected on an image with use of a specific face detection algorithm (e.g., Viola-Jones). Then, an Active Shape Model (ASM) algorithm is applied to the face region of an image to detect facial feature reference points.
Other methods and algorithms suitable for face detection can be used. For example, in some examples, features are located using a landmark, which represents a distinguishable point present in most of the images under consideration. For facial landmarks, for example, the location of the left eye pupil may be used. If an initial landmark is not identifiable (e.g., if a person has an eyepatch), secondary landmarks may be used. Such landmark identification procedures may be used for any such objects. In some examples, a set of landmarks forms a shape. Shapes can be represented as vectors using the coordinates of the points in the shape. One shape is aligned to another with a similarity transform (allowing translation, scaling, and rotation) that minimizes the average Euclidean distance between shape points. The mean shape is the mean of the aligned training shapes.
In some examples, a search is started for landmarks from the mean shape aligned to the position and size of the face determined by a global face detector. Such a search then repeats the steps of suggesting a tentative shape by adjusting the locations of shape points by template matching of the image texture around each point and then conforming the tentative shape to a global shape model until convergence occurs. In some systems, individual template matches are unreliable, and the shape model pools the results of the weak template matches to form a stronger overall classifier. The entire search is repeated at each level in an image pyramid, from coarse to fine resolution.
A transformation system can capture an image or video stream on a client device (e.g., the client device102) and perform complex image manipulations locally on theclient device102 while maintaining a suitable user experience, computation time, and power consumption. The complex image manipulations may include size and shape changes, emotion transfers (e.g., changing a face from a frown to a smile), state transfers (e.g., aging a subject, reducing apparent age, changing gender), style transfers, graphical element application, and any other suitable image or video manipulation implemented by a convolutional neural network that has been configured to execute efficiently on theclient device102.
In some examples, a computer animation model to transform image data can be used by a system where a user may capture an image or video stream of the user (e.g., a selfie) using aclient device102 having a neural network operating as part of amessaging client104 operating on theclient device102. The transformation system operating within themessaging client104 determines the presence of a face within the image or video stream and provides modification icons associated with a computer animation model to transform image data, or the computer animation model can be present as associated with an interface described herein. The modification icons include changes that may be the basis for modifying the user's face within the image or video stream as part of the modification operation. Once a modification icon is selected, the transformation system initiates a process to convert the image of the user to reflect the selected modification icon (e.g., generate a smiling face on the user). A modified image or video stream may be presented in a graphical user interface displayed on theclient device102 as soon as the image or video stream is captured, and a specified modification is selected. The transformation system may implement a complex convolutional neural network on a portion of the image or video stream to generate and apply the selected modification. That is, the user may capture the image or video stream and be presented with a modified result in real-time or near real-time once a modification icon has been selected. Further, the modification may be persistent while the video stream is being captured, and the selected modification icon remains toggled. Machine-taught neural networks may be used to enable such modifications.
The graphical user interface, presenting the modification performed by the transformation system, may supply the user with additional interaction options. Such options may be based on the interface used to initiate the content capture and selection of a particular computer animation model (e.g., initiation from a content creator user interface). In various examples, a modification may be persistent after an initial selection of a modification icon. The user may toggle the modification on or off by tapping or otherwise selecting the face being modified by the transformation system and store it for later viewing or browse to other areas of the imaging application. Where multiple faces are modified by the transformation system, the user may toggle the modification on or off globally by tapping or selecting a single face modified and displayed within a graphical user interface. In some examples, individual faces, among a group of multiple faces, may be individually modified, or such modifications may be individually toggled by tapping or selecting the individual face or a series of individual faces displayed within the graphical user interface.
A story table314 stores data regarding collections of messages and associated image, video, or audio data, which are compiled into a collection (e.g., a story or a gallery). The creation of a particular collection may be initiated by a particular user (e.g., each user for which a record is maintained in the entity table306). A user may create a “personal story” in the form of a collection of content that has been created and sent/broadcast by that user. To this end, the user interface of themessaging client104 may include an icon that is user-selectable to enable a sending user to add specific content to his or her personal story.
A collection may also constitute a “live story,” which is a collection of content from multiple users that is created manually, automatically, or using a combination of manual and automatic techniques. For example, a “live story” may constitute a curated stream of user-submitted content from various locations and events. Users whose client devices have location services enabled and are at a common location event at a particular time may, for example, be presented with an option, via a user interface of themessaging client104, to contribute content to a particular live story. The live story may be identified to the user by themessaging client104, based on his or her location. The end result is a “live story” told from a community perspective.
A further type of content collection is known as a “location story,” which enables a user whoseclient device102 is located within a specific geographic location (e.g., on a college or university campus) to contribute to a particular collection. In some examples, a contribution to a location story may require a second degree of authentication to verify that the end user belongs to a specific organization or other entity (e.g., is a student on the university campus).
As mentioned above, the video table304 stores video data that, in one example, is associated with messages for which records are maintained within the message table302. Similarly, the image table312 stores image data associated with messages for which message data is stored in the entity table306. The entity table306 may associate various augmentations from the augmentation table310 with various images and videos stored in the image table312 and the video table304.
Trained machine learning technique(s)307 stores parameters that have been trained during training of theAR unboxing system224. For example, trainedmachine learning techniques307 stores the trained parameters of one or more neural network machine learning techniques.
Segmentation training images309 stores a plurality of images that each depict one or more users wearing different garments. The plurality of images stored in thesegmentation training images309 includes various depictions of one or more users wearing different garments together with segmentations of the garments that indicate which pixels in the images correspond to the garments and which pixels correspond to a background or a user's body parts in the images. Namely the segmentations provide the borders of the garments depicted in the images. Thesesegmentation training images309 are used by theAR unboxing system224 to train the machine learning technique used to generate a segmentation of one or more garments depicted in a received RGB monocular image corresponding to a set of contents or virtual outfits that are made available by opening the virtual box. In some cases, thesegmentation training images309 include ground truth skeletal key points of one or more bodies depicted in the respective training monocular images to enhance segmentation performance on various distinguishing attributes (e.g., shoulder straps, collar or sleeves) of the garments. In some cases, thesegmentation training images309 include a plurality of image resolutions of bodies depicted in the images. Thesegmentation training images309 can include labeled and unlabeled image and video data. Thesegmentation training images309 can include a depiction of a whole body of a particular user, an image that lacks a depiction of any user (e.g., a negative image), a depiction of a plurality of users wearing different garments, and depictions of users wearing garments at different distances from an image capture device, such as for a virtual try-on AR experience.
Data Communications Architecture
FIG.4 is a schematic diagram illustrating a structure of amessage400, according to some examples, generated by amessaging client104 for communication to afurther messaging client104 or themessaging server118. The content of aparticular message400 is used to populate the message table302 stored within thedatabase126, accessible by themessaging server118. Similarly, the content of amessage400 is stored in memory as “in-transit” or “in-flight” data of theclient device102 or theapplication servers114. Amessage400 is shown to include the following example components:
- message identifier402: a unique identifier that identifies themessage400.
- message text payload404: text, to be generated by a user via a user interface of theclient device102, and that is included in themessage400.
- message image payload406: image data, captured by a camera component of aclient device102 or retrieved from a memory component of aclient device102, and that is included in themessage400. Image data for a sent or receivedmessage400 may be stored in the image table312.
- message video payload408: video data, captured by a camera component or retrieved from a memory component of theclient device102, and that is included in themessage400. Video data for a sent or receivedmessage400 may be stored in the video table304.
- message audio payload410: audio data, captured by a microphone or retrieved from a memory component of theclient device102, and that is included in themessage400.
- message augmentation data412: augmentation data (e.g., filters, stickers, or other annotations or enhancements) that represents augmentations to be applied tomessage image payload406,message video payload408, or messageaudio payload410 of themessage400. Augmentation data for a sent or receivedmessage400 may be stored in the augmentation table310.
- message duration parameter414: parameter value indicating, in seconds, the amount of time for which content of the message (e.g., themessage image payload406,message video payload408, message audio payload410) is to be presented or made accessible to a user via themessaging client104.
- message geolocation parameter416: geolocation data (e.g., latitudinal and longitudinal coordinates) associated with the content payload of the message. Multiplemessage geolocation parameter416 values may be included in the payload, each of these parameter values being associated with respect to content items included in the content (e.g., a specific image within themessage image payload406, or a specific video in the message video payload408).
- message story identifier418: identifier values identifying one or more content collections (e.g., “stories” identified in the story table314) with which a particular content item in themessage image payload406 of themessage400 is associated. For example, multiple images within themessage image payload406 may each be associated with multiple content collections using identifier values.
- message tag420: eachmessage400 may be tagged with multiple tags, each of which is indicative of the subject matter of content included in the message payload. For example, where a particular image included in themessage image payload406 depicts an animal (e.g., a lion), a tag value may be included within themessage tag420 that is indicative of the relevant animal. Tag values may be generated manually, based on user input, or may be automatically generated using, for example, image recognition.
- message sender identifier422: an identifier (e.g., a messaging system identifier, email address, or device identifier) indicative of a user of theclient device102 on which themessage400 was generated and from which themessage400 was sent.
- message receiver identifier424: an identifier (e.g., a messaging system identifier, email address, or device identifier) indicative of a user of theclient device102 to which themessage400 is addressed.
The contents (e.g., values) of the various components ofmessage400 may be pointers to locations in tables within which content data values are stored. For example, an image value in themessage image payload406 may be a pointer to (or address of) a location within an image table312. Similarly, values within themessage video payload408 may point to data stored within a video table304, values stored within themessage augmentation data412 may point to data stored in an augmentation table310, values stored within themessage story identifier418 may point to data stored in a story table314, and values stored within themessage sender identifier422 and themessage receiver identifier424 may point to user records stored within an entity table306.
AR Unboxing System
FIG.5 is a block diagram showing an exampleAR unboxing system224, according to example examples.AR unboxing system224 includes avirtual box module510, anunboxing trigger module520, aninput detection module530, arecording status module540, and animage display module550. Thevirtual box module510 is activated in response to receiving input from a user that selects an option to launch the AR unboxing experience. For example, a list of different AR experience can be presented to the user on a display that depicts a video stream captured by a front-facing or rear-facing camera. TheAR unboxing system224 can detect input that navigates through the list such as by swiping left or right. Each AR experience in the list is represented by a different corresponding AR experience icon. In response to detecting selection of the AR experience icon corresponding to the AR unboxing experience, theAR unboxing system224 activates thevirtual box module510.
Thevirtual box module510 accesses a database of virtual boxes that are current available to users to open and access. Thevirtual box module510 can obtain a user profile of the user of theAR unboxing system224 and search the database to find a virtual box that matches preferences stored in the user profile. Thevirtual box module510 also applies one or more factors (e.g., environmental factors, location, time of day, and so forth) to the database to filter the list of virtual boxes to select a particular virtual box.
Thevirtual box module510 can receive a list of shared AR unboxing experiences from various users or merchants trying to sell different products. Each box creator (user or merchant) can define the triggers for opening the box and the contents of the box. The box creator can also define the look and feel of the different boxes through an AR platform. The box creator can also define target recipients for the box by specifying attributes associated with the box. The attributes can represent the box contents and/or the level of difficulty of the triggers. Once created, the box creator can upload the AR unboxing experience to theAR unboxing system224 for inclusion in the list of shared AR unboxing experiences. In some cases, thevirtual box module510 can access a user profile to identify one or more shared AR unboxing experiences that are associated with box attributes that match the user profile. Thevirtual box module510 can then select only those identified one or more shared AR unboxing experiences for presentation to a user to select to activate.
Thevirtual box module510 obtains a representation of the particular virtual box and instructs theimage display module550 to display the representation of the particular virtual box in the closed or locked state on top or within the video stream captured by the camera of theclient device102. The representation can include a box that appears to float in the real-world environment or that is placed on top of a real-world object, such as a desk or table. Thevirtual box module510 also receives a time limit associated with the particular virtual box. The time limit can include a countdown timer during which the particular virtual box can be opened. If the virtual box is not successfully opened (e.g., by performing actions corresponding to triggers associated with the virtual box) within the time limit, the virtual box remains closed or locked permanently and the set of contents contained in the virtual box are discarded.
Thevirtual box module510 communicates a unique identifier of the particular virtual box (e.g., a unique number and/or type of virtual box) to theunboxing trigger module520. Theunboxing trigger module520 is configured to obtain a sequence of triggers and associate the sequence of triggers with the particular virtual box. The sequence of triggers controls access to the virtual box. Namely, the sequence of triggers represents a set of actions that need to be performed in sequence or out of sequence in order to change the state of the virtual box from a closed state to an open state. In the open state, the contents of the virtual box are made available to the user to access or consume.
Theunboxing trigger module520 accesses a database that associates different box types, factors, and/or unique identifiers with sequences of triggers.FIG.6 shows anillustrative database600 that associates different box types, factors, and/or unique identifiers with sequences of triggers. Specifically, thedatabase600 includes a box type field610 (which can also include factors and/or unique identifiers) and atriggers field620. Thebox type field610 specifies different types of boxes and factors, such as environmental factors. In some cases, the unboxingtrigger module520 can retrieve a first set of triggers stored in thetriggers field620 associated with a given box type stored in thebox type field610. Theunboxing trigger module520 can also retrieve a second set of triggers stored in thetriggers field620 that correspond to one or more factors that match environmental factors stored in thebox type field610. Theunboxing trigger module520 can combine linearly the first and second sets of triggers to associate with the virtual box obtained by thevirtual box module510.
As an example, the unboxingtrigger module520 can determine that the box type received from thevirtual box module510 matches thebox type 1 stored in thebox type field610 of afirst entry630 in thedatabase600. In response, the unboxingtrigger module520 retrieves a first sequence of triggers stored in thetriggers field620 of thefirst entry630. The first sequence of triggers can include a sequence of user actions, such as shake, tear, speak and twist that need to be performed in a particular order. A shake action corresponds to input that shakes aclient device102, such as moving theclient device102 back and forth fast within a short specified time interval (e.g., 3 seconds). A tear action corresponds to input that touches or holds two or more portions of a virtual box and moves the portions in opposite directions. A speak action corresponds to voice input that speaks a specified command or response to a challenge question. A twist action corresponds to input that touches or holds a portion of the virtual box and rotates the portion about its axis.
As another example, the unboxingtrigger module520 can determine that a factor (e.g., one or more external factors such as a location of theclient device102, a time of day, a request to record a video of the user interacting with the virtual box being received, weather at the location of theclient device102, or experience level or activeness metric associated with a user, and so forth) received from thevirtual box module510 matches theenvironmental factor 1 stored in thebox type field610 of asecond entry640 in thedatabase600. In response, the unboxingtrigger module520 retrieves a second sequence of triggers stored in thetriggers field620 of thesecond entry640. The second sequence of triggers can include a sequence of user actions, such as walking along a particular path or responding to a challenge question. Theunboxing trigger module520 can combine the first sequence of triggers with the second sequence of triggers. In one implementation, the unboxingtrigger module520 appends the second sequence of triggers to the first sequence of triggers such that actions in the first sequence triggers need to be completed before actions in the second sequence. In another implementation, the unboxingtrigger module520 inserts the second sequence of triggers ahead or within the first sequence of triggers.
In some implementations, the unboxingtrigger module520 communicates the obtained sequence of triggers to theinput detection module530 and to thevirtual box module510. In one example, thevirtual box module510 displays hints or representations of the obtained sequence of triggers. In some examples, the hints or representations can be displayed when there is a threshold amount of time remaining on the time limit associated with the virtual box. For example, thevirtual box module510 can determine that the countdown timer has reached a specified value (e.g., 5 minutes remaining). In such cases, thevirtual box module510 can display some or all of the obtained sequence of triggers that have not yet been completed or a representation or hint corresponding to the obtained sequence of triggers.
Theinput detection module530 monitors user actions performed on theclient device102 while the virtual box is being displayed in the closed state on top of or within a real-world environment depicted in a video stream. Theinput detection module530 can access the obtained sequence of triggers. Theinput detection module530 retrieves a first trigger that is in the sequence of triggers and monitors the user actions performed on theclient device102 to determine when a particular user action corresponds to the first trigger. For example, the first trigger can be a shake gesture. Theinput detection module530 can monitor actions performed by the user interacting with the virtual box that is being displayed in the closed state. Theinput detection module530 can detect that theclient device102 is being shaken and, in response, theinput detection module530 can determine that the first trigger has been satisfied. It should be understood that the words “triggers” and “conditions” are interchangeable and should be understood to have the same meaning. Once the first trigger or condition is satisfied, theinput detection module530 displays an indicator on the display informing the user of the progress in opening the virtual box. Specifically, initially a progress bar can be displayed with 0% completion status or 0/5 (if there are 5 triggers set) being shown. In response to determining that the first trigger has been completed, the progress bar can be updated to show 25% or more depending on the number of triggers that remain. This way, the user is informed as to how many more actions and how close the user is to opening the virtual box.
The triggers can include an appearance trigger. An appearance trigger can instruct the user to perform an action to change an appearance of the user. For example, the appearance trigger can instruct the user to find a fashion item (e.g., hat, sunglasses, article of clothing, jewelry, and so forth) and to wear the fashion item. The appearance trigger can provide a time limit for the user to change the appearance in the specified way. The appearance trigger can perform object recognition of a captured video feed to detect whether the change in appearance matches the specified instructions. For example, if the appearance trigger includes an instruction for the user to wear sunglasses, the appearance trigger can apply object recognition to detect presence of sunglasses in a predetermined proximity of the face of the user. In response to detecting the object associated with the instruction in the video feed within the specified time limit, the appearance trigger determines that the trigger has been satisfied.
Theinput detection module530 access the sequence of triggers to obtain a next trigger that is in the sequence. Theinput detection module530 also determines if the currently obtained trigger is a last trigger in the sequence of triggers. In response to determining that the currently obtained trigger is not the last trigger in the sequence, theinput detection module530 continues monitoring user actions to determine when the user actions correspond to the currently obtained trigger. In response to determining that the currently obtained trigger is the last trigger in the sequence, theinput detection module530 continues monitoring user actions to determine when the user actions correspond to the currently obtained trigger and also communicates with therecording status module540 to activate a front-facing camera. Specifically, while the user is performing the last action needed to open the virtual box, therecording status module540 is recording a video of the user's face. In some cases, theinput detection module530 instructs therecording status module540 to only begin recording the user's face when theinput detection module530 determines that the user performed an action that corresponds to the last trigger in the sequence. In this case, theinput detection module530 instructs therecording statue module540 to record or capture a video of the user's face concurrently with instructing theunboxing trigger module520 to modify a state of the virtual box from the closed state to the open state. As part of modifying the state of the virtual box from the closed state to the open state, the unboxingtrigger module520 animates the virtual box as opening, such as by animating opening a door or entry into the virtual box that is displayed.
In some examples, thevirtual box module510 provides an interface that enables a first user to create a virtual box and define the sequence of triggers for opening the virtual box. Theclient device102 of the first user can receive input from the first user that selects a set of content to include in the virtual box. Theclient device102 of the first user can also request the first user to specify a sequence of triggers to associate with the virtual box. Theclient device102 can present a list of available triggers and the first user can select any number and combination of triggers from the list. Theclient device102 can also allow the first user to define a time limit to associate with the virtual box. Theclient device102 of the first user can receive input from the first user to share the virtual box with a second user. In response, thevirtual box module510 receives input from the first user that specifies one or more recipients. Thevirtual box module510 sends the virtual box to the specified recipients, such as to theirrespective messaging clients104 implemented on theirrespective client device102. Theclient devices102 of the specified recipients receive the virtual box via themessaging client104.
In an implementation, a client device of a second user (e.g., one of the specified recipients) can detect input that selects an option to launch the virtual box received from the first user. Thevirtual box module510 can then communicate with theunboxing trigger module520 and theinput detection module530 to display the virtual box and determine when the sequence of actions performed by the second user match or correspond to the sequence of triggers associated with the virtual box that were defined by the first user. In some cases, therecording status module540 automatically captures an image or video of the second user when a last or final action has successfully been performed that matches the last or final trigger in the sequence defined by the first user. In this case, therecording status module540 automatically responds to the first user via themessaging client104 with a message that includes a video or image depicting a reaction of the second user to successfully opening the virtual box sent by the first user. The first user via theclient device102 can playback the video or view the image that depicts the reaction of the second user opening the virtual box that was created by the first user.
In some examples, thevirtual box module510 can receive input or a request to repackage the virtual box after the virtual box changes states from the closed state to the open state. In response, thevirtual box module510 can animate the virtual box as closing and display the virtual box in the closed state. Thevirtual box module510 communicates an indication to theunboxing trigger module520 that the same box has been repackaged. In response, the unboxingtrigger module520 can modify the sequence of triggers associated with the virtual box, such as to increase a complexity of the actions that need to be performed to open the virtual box. In such cases, the unboxingtrigger module520 accesses thedatabase600 to obtain a trigger from thetrigger field620 that corresponds to a repacking factor stored in thebox type field610. Theunboxing trigger module520 inserts the obtained trigger into a random location or a specified location (e.g., the start or end) of the sequence of triggers previously associated with the virtual box. In this way, the user can experience reopening the same virtual box with a different level of difficulty.
In some cases, thevirtual box module510 can determine that the user previously did not request to record a video depicting the user opening or interactive with the virtual box. In such cases, if the user requests to repackage the virtual box, thevirtual box module510 can communicate with therecording status module540 to automatically activate a front-facing camera of theclient device102 to capture an image or video of the user interacting with the virtual box to reopen the virtual box. In some cases, the video or image is only captured after a first initial portion of the sequence of triggers is performed and when there are less than a specified number or quantity of triggers remaining in the sequence of triggers to be performed.
FIGS.7 and8 show illustrative outputs of theAR unboxing system224. For example, as shown inFIG.7, auser interface700 is displayed on a screen of aclient device102. Theuser interface700 includes a real-world environment depicted in avideo feed701. Theuser interface700 includes a list of AR experiences, such as a virtual unboxing AR experience730 and another AR experience732. Theclient device102 can receive input that navigates between the list of AR experiences to select the virtual unboxing AR experience730. In response, theAR unboxing system224 obtains an augmented reality element, such as a virtual box, corresponding to the virtual unboxing AR experience730. TheAR unboxing system224 displays a representation of thevirtual box710 in thevideo feed701 depicted in theuser interface700 in the closed state. TheAR unboxing system224 can also determine that the virtual box is associated with a time limit. In such cases, theAR unboxing system224 displays thecountdown timer720 indicating how much time is left for the user to perform the sequence of actions that match the triggers for opening thevirtual box710. In some cases, although not shown, theAR unboxing system224 can also present a progress bar indicating or representing how many of the triggers have currently been successfully performed and how many triggers remain.
TheAR unboxing system224 can monitor actions performed by the user. TheAR unboxing system224 can determine that the sequence of actions performed by the user correspond to the sequence of triggers associated with thevirtual box710. TheAR unboxing system224 can, in response, modify a state of thevirtual box710 from being in a closed state to being in an open state. For example, as shown inFIG.8, thevirtual box810 is depicted as being in an open state and a representation of the set ofcontents820 available now for the user to consume or access is provided or displayed. Thevirtual box810 and the set ofcontents820 are presented within the real-world environment depicted in thevideo feed801 captured by a front-facing or rear-facing camera of theclient device102.
In some examples, the set of contents include virtual articles of clothing or garments. TheAR unboxing system224 can receive input that selects a particular one of the virtual articles of clothing. In response, theAR unboxing system224 can present a try onoption830 and can receive input that selects the try onoption830. In this case, theAR unboxing system224 launches or activates a virtual try-on AR experience in which a front-facing or rear-facing camera is used to capture a depiction of the user and is augmented with the selected virtual articles of clothing. Namely, theAR unboxing system224 can present or overlay the virtual articles of clothing on top of a depiction of the user so the user can visualize how the user looks wearing the virtual articles of clothing. TheAR unboxing system224 can present an option to purchase the real-world clothing corresponding to the virtual articles of clothing being tried on. In response to receiving input selecting the option to purchase, theAR unboxing system224 completes an e-commerce transaction to purchase the real-world clothing from an online merchant to have the real-world clothing delivered physically to the user. In some cases, the real-world clothing can be purchased at a discount in response to the user successfully performing the sequence of actions that correspond to the triggers associated with opening thevirtual box810.
FIG.9 is a flowchart of aprocess900 performed by theAR unboxing system224, in accordance with some example examples. Although the flowchart can describe the operations as a sequential process, many of the operations can be performed in parallel or concurrently. In addition, the order of the operations may be re-arranged. A process is terminated when its operations are completed. A process may correspond to a method, a procedure, and the like. The steps of methods may be performed in whole or in part, may be performed in conjunction with some or all of the steps in other methods, and may be performed by any number of different systems or any portion thereof, such as a processor included in any of the systems.
Atoperation901, the AR unboxing system224 (e.g., aclient device102 or a server) retrieves an augmented reality element comprising a virtual box that is in a closed state, as discussed above. For example, theAR unboxing system224 receives a virtual box from anotherclient device102 and/or receives input selecting an option to launch a virtual unboxing AR experience. In response, theAR unboxing system224 obtains the augmented reality element that includes avirtual box710 and displays thevirtual box710 in the user interface700 (FIG.7).
Atoperation902, theAR unboxing system224 obtains a sequence of triggers associated with the virtual box, the sequence of triggers configured to change the virtual box from the closed state to an open state, as discussed above. For example, theAR unboxing system224 accesses a database that associates different box types with sequences of triggers to obtain the sequence of triggers associated with thevirtual box710.
Atoperation903, theAR unboxing system224 displays the augmented reality element comprising the virtual box within a real-world environment depicted in a video stream, as discussed above. For example, theAR unboxing system224 displays thevirtual box710 in theuser interface700 on top of the video feed701 (FIG.7).
Atoperation904, theAR unboxing system224 receives input associated with the augmented reality virtual box, as discussed above. For example, theAR unboxing system224 monitors user interactions or user actions with the box, such as shaking, twisting, tearing, speaking, and so forth.
Atoperation905, theAR unboxing system224 determines that the received input corresponds to the sequence of triggers associated with the virtual box, as discussed above. For example, theAR unboxing system224 determines that the sequence of user actions matches or corresponds to the sequence of triggers obtained and associated with thevirtual box710.
Atoperation906, theAR unboxing system224 modifies the augmented reality element from being displayed in the closed state to being displayed in the open state in response to determining that the received input corresponds to the sequence of triggers associated with the virtual box, as discussed above. For example, theAR unboxing system224 modifies thevirtual box710 from being in the closed state to depict the virtual box810 (FIG.8) being in an open state to reveal the set ofcontents820 contained in thevirtual box810.
Machine Architecture
FIG.10 is a diagrammatic representation of themachine1000 within which instructions1008 (e.g., software, a program, an application, an applet, an app, or other executable code) for causing themachine1000 to perform any one or more of the methodologies discussed herein may be executed. For example, theinstructions1008 may cause themachine1000 to execute any one or more of the methods described herein. Theinstructions1008 transform the general,non-programmed machine1000 into aparticular machine1000 programmed to carry out the described and illustrated functions in the manner described. Themachine1000 may operate as a standalone device or may be coupled (e.g., networked) to other machines. In a networked deployment, themachine1000 may operate in the capacity of a server machine or a client machine in a server-client network environment, or as a peer machine in a peer-to-peer (or distributed) network environment. Themachine1000 may comprise, but not be limited to, a server computer, a client computer, a personal computer (PC), a tablet computer, a laptop computer, a netbook, a set-top box (STB), a personal digital assistant (PDA), an entertainment media system, a cellular telephone, a smartphone, a mobile device, a wearable device (e.g., a smartwatch), a smart home device (e.g., a smart appliance), other smart devices, a web appliance, a network router, a network switch, a network bridge, or any machine capable of executing theinstructions1008, sequentially or otherwise, that specify actions to be taken by themachine1000. Further, while only asingle machine1000 is illustrated, the term “machine” shall also be taken to include a collection of machines that individually or jointly execute theinstructions1008 to perform any one or more of the methodologies discussed herein. Themachine1000, for example, may comprise theclient device102 or any one of a number of server devices forming part of themessaging server system108. In some examples, themachine1000 may also comprise both client and server systems, with certain operations of a particular method or algorithm being performed on the server-side and with certain operations of the particular method or algorithm being performed on the client-side.
Themachine1000 may includeprocessors1002,memory1004, and input/output (I/O)components1038, which may be configured to communicate with each other via abus1040. In an example, the processors1002 (e.g., a Central Processing Unit (CPU), a Reduced Instruction Set Computing (RISC) Processor, a Complex Instruction Set Computing (CISC) Processor, a Graphics Processing Unit (GPU), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Radio-Frequency Integrated Circuit (RFIC), another processor, or any suitable combination thereof) may include, for example, aprocessor1006 and aprocessor1010 that execute theinstructions1008. The term “processor” is intended to include multi-core processors that may comprise two or more independent processors (sometimes referred to as “cores”) that may execute instructions contemporaneously. AlthoughFIG.10 showsmultiple processors1002, themachine1000 may include a single processor with a single-core, a single processor with multiple cores (e.g., a multi-core processor), multiple processors with a single core, multiple processors with multiples cores, or any combination thereof.
Thememory1004 includes amain memory1012, astatic memory1014, and astorage unit1016, all accessible to theprocessors1002 via thebus1040. Themain memory1004, thestatic memory1014, and thestorage unit1016 store theinstructions1008 embodying any one or more of the methodologies or functions described herein. Theinstructions1008 may also reside, completely or partially, within themain memory1012, within thestatic memory1014, within machine-readable medium1018 within thestorage unit1016, within at least one of the processors1002 (e.g., within the processor's cache memory), or any suitable combination thereof, during execution thereof by themachine1000.
The I/O components1038 may include a wide variety of components to receive input, provide output, produce output, transmit information, exchange information, capture measurements, and so on. The specific I/O components1038 that are included in a particular machine will depend on the type of machine. For example, portable machines such as mobile phones may include a touch input device or other such input mechanisms, while a headless server machine will likely not include such a touch input device. It will be appreciated that the I/O components1038 may include many other components that are not shown inFIG.10. In various examples, the I/O components1038 may includeuser output components1024 anduser input components1026. Theuser output components1024 may include visual components (e.g., a display such as a plasma display panel (PDP), a light-emitting diode (LED) display, a liquid crystal display (LCD), a projector, or a cathode ray tube (CRT)), acoustic components (e.g., speakers), haptic components (e.g., a vibratory motor, resistance mechanisms), other signal generators, and so forth. Theuser input components1026 may include alphanumeric input components (e.g., a keyboard, a touch screen configured to receive alphanumeric input, a photo-optical keyboard, or other alphanumeric input components), point-based input components (e.g., a mouse, a touchpad, a trackball, a joystick, a motion sensor, or another pointing instrument), tactile input components (e.g., a physical button, a touch screen that provides location and force of touches or touch gestures, or other tactile input components), audio input components (e.g., a microphone), and the like.
In further examples, the I/O components1038 may includebiometric components1028,motion components1030,environmental components1032, orposition components1034, among a wide array of other components. For example, thebiometric components1028 include components to detect expressions (e.g., hand expressions, facial expressions, vocal expressions, body gestures, or eye-tracking), measure biosignals (e.g., blood pressure, heart rate, body temperature, perspiration, or brain waves), identify a person (e.g., voice identification, retinal identification, facial identification, fingerprint identification, or electroencephalogram-based identification), and the like. Themotion components1030 include acceleration sensor components (e.g., accelerometer), gravitation sensor components, rotation sensor components (e.g., gyroscope).
Theenvironmental components1032 include, for example, one or cameras (with still image/photograph and video capabilities), illumination sensor components (e.g., photometer), temperature sensor components (e.g., one or more thermometers that detect ambient temperature), humidity sensor components, pressure sensor components (e.g., barometer), acoustic sensor components (e.g., one or more microphones that detect background noise), proximity sensor components (e.g., infrared sensors that detect nearby objects), gas sensors (e.g., gas detection sensors to detection concentrations of hazardous gases for safety or to measure pollutants in the atmosphere), or other components that may provide indications, measurements, or signals corresponding to a surrounding physical environment.
With respect to cameras, theclient device102 may have a camera system comprising, for example, front cameras on a front surface of theclient device102 and rear cameras on a rear surface of theclient device102. The front cameras may, for example, be used to capture still images and video of a user of the client device102 (e.g., “selfies”), which may then be augmented with augmentation data (e.g., filters) described above. The rear cameras may, for example, be used to capture still images and videos in a more traditional camera mode, with these images similarly being augmented with augmentation data. In addition to front and rear cameras, theclient device102 may also include a 360° camera for capturing 360° photographs and videos.
Further, the camera system of aclient device102 may include dual rear cameras (e.g., a primary camera as well as a depth-sensing camera), or even triple, quad or penta rear camera configurations on the front and rear sides of theclient device102. These multiple cameras systems may include a wide camera, an ultra-wide camera, a telephoto camera, a macro camera, and a depth sensor, for example.
Theposition components1034 include location sensor components (e.g., a GPS receiver component), altitude sensor components (e.g., altimeters or barometers that detect air pressure from which altitude may be derived), orientation sensor components (e.g., magnetometers), and the like.
Communication may be implemented using a wide variety of technologies. The I/O components1038 further includecommunication components1036 operable to couple themachine1000 to anetwork1020 ordevices1022 via respective coupling or connections. For example, thecommunication components1036 may include a network interface component or another suitable device to interface with thenetwork1020. In further examples, thecommunication components1036 may include wired communication components, wireless communication components, cellular communication components, Near Field Communication (NFC) components, Bluetooth® components (e.g., Bluetooth® Low Energy), Wi-Fi® components, and other communication components to provide communication via other modalities. Thedevices1022 may be another machine or any of a wide variety of peripheral devices (e.g., a peripheral device coupled via a USB).
Moreover, thecommunication components1036 may detect identifiers or include components operable to detect identifiers. For example, thecommunication components1036 may include Radio Frequency Identification (RFID) tag reader components, NFC smart tag detection components, optical reader components (e.g., an optical sensor to detect one-dimensional bar codes such as Universal Product Code (UPC) bar code, multi-dimensional bar codes such as Quick Response (QR) code, Aztec code, Data Matrix, Dataglyph, MaxiCode, PDF417, Ultra Code, UCC RSS-2D bar code, and other optical codes), or acoustic detection components (e.g., microphones to identify tagged audio signals). In addition, a variety of information may be derived via thecommunication components1036, such as location via Internet Protocol (IP) geolocation, location via Wi-Fi® signal triangulation, location via detecting an NFC beacon signal that may indicate a particular location, and so forth.
The various memories (e.g.,main memory1012,static memory1014, and memory of the processors1002) andstorage unit1016 may store one or more sets of instructions and data structures (e.g., software) embodying or used by any one or more of the methodologies or functions described herein. These instructions (e.g., the instructions1008), when executed byprocessors1002, cause various operations to implement the disclosed examples.
Theinstructions1008 may be transmitted or received over thenetwork1020, using a transmission medium, via a network interface device (e.g., a network interface component included in the communication components1036) and using any one of several well-known transfer protocols (e.g., hypertext transfer protocol (HTTP)). Similarly, theinstructions1008 may be transmitted or received using a transmission medium via a coupling (e.g., a peer-to-peer coupling) to thedevices1022.
Software Architecture
FIG.11 is a block diagram1100 illustrating asoftware architecture1104, which can be installed on any one or more of the devices described herein. Thesoftware architecture1104 is supported by hardware such as amachine1102 that includesprocessors1120,memory1126, and I/O components1138. In this example, thesoftware architecture1104 can be conceptualized as a stack of layers, where each layer provides a particular functionality. Thesoftware architecture1104 includes layers such as anoperating system1112,libraries1110,frameworks1108, andapplications1106. Operationally, theapplications1106 invokeAPI calls1150 through the software stack and receivemessages1152 in response to the API calls1150.
Theoperating system1112 manages hardware resources and provides common services. Theoperating system1112 includes, for example, akernel1114,services1116, anddrivers1122. Thekernel1114 acts as an abstraction layer between the hardware and the other software layers. For example, thekernel1114 provides memory management, processor management (e.g., scheduling), component management, networking, and security settings, among other functionality. Theservices1116 can provide other common services for the other software layers. Thedrivers1122 are responsible for controlling or interfacing with the underlying hardware. For instance, thedrivers1122 can include display drivers, camera drivers, BLUETOOTH® or BLUETOOTH® Low Energy drivers, flash memory drivers, serial communication drivers (e.g., USB drivers), WI-FI® drivers, audio drivers, power management drivers, and so forth.
Thelibraries1110 provide a common low-level infrastructure used byapplications1106. Thelibraries1110 can include system libraries1118 (e.g., C standard library) that provide functions such as memory allocation functions, string manipulation functions, mathematic functions, and the like. In addition, thelibraries1110 can includeAPI libraries1124 such as media libraries (e.g., libraries to support presentation and manipulation of various media formats such as Moving Picture Experts Group-4 (MPEG4), Advanced Video Coding (H.264 or AVC), Moving Picture Experts Group Layer-3 (MP3), Advanced Audio Coding (AAC), Adaptive Multi-Rate (AMR) audio codec, Joint Photographic Experts Group (JPEG or JPG), or Portable Network Graphics (PNG)), graphics libraries (e.g., an OpenGL framework used to render in two dimensions (2D) and three dimensions (3D) in a graphic content on a display), database libraries (e.g., SQLite to provide various relational database functions), web libraries (e.g., WebKit to provide web browsing functionality), and the like. Thelibraries1110 can also include a wide variety ofother libraries1128 to provide many other APIs to theapplications1106.
Theframeworks1108 provide a common high-level infrastructure that is used by theapplications1106. For example, theframeworks1108 provide various graphical user interface (GUI) functions, high-level resource management, and high-level location services. Theframeworks1108 can provide a broad spectrum of other APIs that can be used by theapplications1106, some of which may be specific to a particular operating system or platform.
In an example, theapplications1106 may include ahome application1136, acontacts application1130, abrowser application1132, abook reader application1134, alocation application1142, amedia application1144, amessaging application1146, agame application1148, and a broad assortment of other applications such as anexternal application1140. Theapplications1106 are programs that execute functions defined in the programs. Various programming languages can be employed to create one or more of theapplications1106, structured in a variety of manners, such as object-oriented programming languages (e.g., Objective-C, Java, or C++) or procedural programming languages (e.g., C or assembly language). In a specific example, the external application1140 (e.g., an application developed using the ANDROID™ or IOS™ software development kit (SDK) by an entity other than the vendor of the particular platform) may be mobile software running on a mobile operating system such as IOS™, ANDROID™, WINDOWS® Phone, or another mobile operating system. In this example, theexternal application1140 can invoke the API calls1150 provided by theoperating system1112 to facilitate functionality described herein.
Glossary
“Carrier signal” refers to any intangible medium that is capable of storing, encoding, or carrying instructions for execution by the machine, and includes digital or analog communications signals or other intangible media to facilitate communication of such instructions. Instructions may be transmitted or received over a network using a transmission medium via a network interface device.
“Client device” refers to any machine that interfaces to a communications network to obtain resources from one or more server systems or other client devices. A client device may be, but is not limited to, a mobile phone, desktop computer, laptop, portable digital assistants (PDAs), smartphones, tablets, ultrabooks, netbooks, laptops, multi-processor systems, microprocessor-based or programmable consumer electronics, game consoles, set-top boxes, or any other communication device that a user may use to access a network.
“Communication network” refers to one or more portions of a network that may be an ad hoc network, an intranet, an extranet, a virtual private network (VPN), a local area network (LAN), a wireless LAN (WLAN), a wide area network (WAN), a wireless WAN (WWAN), a metropolitan area network (MAN), the Internet, a portion of the Internet, a portion of the Public Switched Telephone Network (PSTN), a plain old telephone service (POTS) network, a cellular telephone network, a wireless network, a Wi-Fi® network, another type of network, or a combination of two or more such networks. For example, a network or a portion of a network may include a wireless or cellular network and the coupling may be a Code Division Multiple Access (CDMA) connection, a Global System for Mobile communications (GSM) connection, or other types of cellular or wireless coupling. In this example, the coupling may implement any of a variety of types of data transfer technology, such as Single Carrier Radio Transmission Technology (1×RTT), Evolution-Data Optimized (EVDO) technology, General Packet Radio Service (GPRS) technology, Enhanced Data rates for GSM Evolution (EDGE) technology, third Generation Partnership Project (3GPP) including 3G, fourth generation wireless (4G) networks, Universal Mobile Telecommunications System (UMTS), High Speed Packet Access (HSPA), Worldwide Interoperability for Microwave Access (WiMAX), Long Term Evolution (LTE) standard, others defined by various standard-setting organizations, other long-range protocols, or other data transfer technology.
“Component” refers to a device, physical entity, or logic having boundaries defined by function or subroutine calls, branch points, APIs, or other technologies that provide for the partitioning or modularization of particular processing or control functions. Components may be combined via their interfaces with other components to carry out a machine process. A component may be a packaged functional hardware unit designed for use with other components and a part of a program that usually performs a particular function of related functions.
Components may constitute either software components (e.g., code embodied on a machine-readable medium) or hardware components. A “hardware component” is a tangible unit capable of performing certain operations and may be configured or arranged in a certain physical manner. In various examples, one or more computer systems (e.g., a standalone computer system, a client computer system, or a server computer system) or one or more hardware components of a computer system (e.g., a processor or a group of processors) may be configured by software (e.g., an application or application portion) as a hardware component that operates to perform certain operations as described herein.
A hardware component may also be implemented mechanically, electronically, or any suitable combination thereof. For example, a hardware component may include dedicated circuitry or logic that is permanently configured to perform certain operations. A hardware component may be a special-purpose processor, such as a field-programmable gate array (FPGA) or an application specific integrated circuit (ASIC). A hardware component may also include programmable logic or circuitry that is temporarily configured by software to perform certain operations. For example, a hardware component may include software executed by a general-purpose processor or other programmable processor. Once configured by such software, hardware components become specific machines (or specific components of a machine) uniquely tailored to perform the configured functions and are no longer general-purpose processors. It will be appreciated that the decision to implement a hardware component mechanically, in dedicated and permanently configured circuitry, or in temporarily configured circuitry (e.g., configured by software), may be driven by cost and time considerations. Accordingly, the phrase “hardware component” (or “hardware-implemented component”) should be understood to encompass a tangible entity, be that an entity that is physically constructed, permanently configured (e.g., hardwired), or temporarily configured (e.g., programmed) to operate in a certain manner or to perform certain operations described herein.
Considering examples in which hardware components are temporarily configured (e.g., programmed), each of the hardware components need not be configured or instantiated at any one instance in time. For example, where a hardware component comprises a general-purpose processor configured by software to become a special-purpose processor, the general-purpose processor may be configured as respectively different special-purpose processors (e.g., comprising different hardware components) at different times. Software accordingly configures a particular processor or processors, for example, to constitute a particular hardware component at one instance of time and to constitute a different hardware component at a different instance of time.
Hardware components can provide information to, and receive information from, other hardware components. Accordingly, the described hardware components may be regarded as being communicatively coupled. Where multiple hardware components exist contemporaneously, communications may be achieved through signal transmission (e.g., over appropriate circuits and buses) between or among two or more of the hardware components. In examples in which multiple hardware components are configured or instantiated at different times, communications between such hardware components may be achieved, for example, through the storage and retrieval of information in memory structures to which the multiple hardware components have access. For example, one hardware component may perform an operation and store the output of that operation in a memory device to which it is communicatively coupled. A further hardware component may then, at a later time, access the memory device to retrieve and process the stored output. Hardware components may also initiate communications with input or output devices, and can operate on a resource (e.g., a collection of information).
The various operations of example methods described herein may be performed, at least partially, by one or more processors that are temporarily configured (e.g., by software) or permanently configured to perform the relevant operations. Whether temporarily or permanently configured, such processors may constitute processor-implemented components that operate to perform one or more operations or functions described herein. As used herein, “processor-implemented component” refers to a hardware component implemented using one or more processors. Similarly, the methods described herein may be at least partially processor-implemented, with a particular processor or processors being an example of hardware. For example, at least some of the operations of a method may be performed by one ormore processors1002 or processor-implemented components. Moreover, the one or more processors may also operate to support performance of the relevant operations in a “cloud computing” environment or as a “software as a service” (SaaS). For example, at least some of the operations may be performed by a group of computers (as examples of machines including processors), with these operations being accessible via a network (e.g., the Internet) and via one or more appropriate interfaces (e.g., an API). The performance of certain of the operations may be distributed among the processors, not only residing within a single machine, but deployed across a number of machines. In some examples, the processors or processor-implemented components may be located in a single geographic location (e.g., within a home environment, an office environment, or a server farm). In other examples, the processors or processor-implemented components may be distributed across a number of geographic locations.
“Computer-readable storage medium” refers to both machine-storage media and transmission media. Thus, the terms include both storage devices/media and carrier waves/modulated data signals. The terms “machine-readable medium,” “computer-readable medium” and “device-readable medium” mean the same thing and may be used interchangeably in this disclosure.
“Ephemeral message” refers to a message that is accessible for a time-limited duration. An ephemeral message may be a text, an image, a video and the like. The access time for the ephemeral message may be set by the message sender. Alternatively, the access time may be a default setting or a setting specified by the recipient. Regardless of the setting technique, the message is transitory.
“Machine storage medium” refers to a single or multiple storage devices and media (e.g., a centralized or distributed database, and associated caches and servers) that store executable instructions, routines and data. The term shall accordingly be taken to include, but not be limited to, solid-state memories, and optical and magnetic media, including memory internal or external to processors. Specific examples of machine-storage media, computer-storage media and device-storage media include non-volatile memory, including by way of example semiconductor memory devices, e.g., erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), FPGA, and flash memory devices; magnetic disks such as internal hard disks and removable disks; magneto-optical disks; and CD-ROM and DVD-ROM disks The terms “machine-storage medium,” “device-storage medium,” “computer-storage medium” mean the same thing and may be used interchangeably in this disclosure. The terms “machine-storage media,” “computer-storage media,” and “device-storage media” specifically exclude carrier waves, modulated data signals, and other such media, at least some of which are covered under the term “signal medium.”
“Non-transitory computer-readable storage medium” refers to a tangible medium that is capable of storing, encoding, or carrying the instructions for execution by a machine.
“Signal medium” refers to any intangible medium that is capable of storing, encoding, or carrying the instructions for execution by a machine and includes digital or analog communications signals or other intangible media to facilitate communication of software or data. The term “signal medium” shall be taken to include any form of a modulated data signal, carrier wave, and so forth. The term “modulated data signal” means a signal that has one or more of its characteristics set or changed in such a matter as to encode information in the signal. The terms “transmission medium” and “signal medium” mean the same thing and may be used interchangeably in this disclosure.
Changes and modifications may be made to the disclosed examples without departing from the scope of the present disclosure. These and other changes or modifications are intended to be included within the scope of the present disclosure, as expressed in the following claims.